Triple
T3877463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Episcopal Diocese of Dallas |
E92536
|
entity |
| Predicate | hasHeadquartersFunction |
P33384
|
FINISHED |
| Object | administration of diocesan ministries |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: administration of diocesan ministries | Statement: [Episcopal Diocese of Dallas, hasHeadquartersFunction, administration of diocesan ministries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeadquartersFunction Context triple: [Episcopal Diocese of Dallas, hasHeadquartersFunction, administration of diocesan ministries]
-
A.
hasHeadquartersType
Indicates the specific kind or classification of headquarters associated with an entity.
-
B.
hasHeadquartersBuilding
Indicates that an organization possesses a specific building that serves as its headquarters location.
-
C.
headquartersFunction
chosen
Indicates that an entity serves as the main administrative or central operating location (headquarters) for another entity.
-
D.
headquartersFor
Indicates that a location serves as the main administrative center or base of operations for an organization or entity.
-
E.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7574c408190893e70bf80514838 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.